Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP

Rahul Trisal

Rahul Trisal is a dedicated cloud computing and artificial intelligence educator who specializes in bridging the gap between complex AWS architecture and practical, production-grade generative AI implementation. With a sharp focus on modern engineering paradigms, Rahul creates comprehensive technical curricula designed to empower developers to transition from theoretical understanding to hands-on deployment. His teaching philosophy centers on the integration of cutting-edge tools, such as Amazon Bedrock, LangChain, and CrewAI, into scalable workflows that solve real-world business challenges. By emphasizing architectural best practices, including the use of the AWS Cloud Development Kit (CDK), Rahul ensures his students do not just write code, but build resilient systems capable of handling modern production demands. His approach is meticulously structured, breaking down intricate concepts like Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) into digestible, actionable lessons. Whether guiding professionals toward AWS certification or helping them master agentic AI frameworks, Rahul remains committed to clarity, technical depth, and the continuous evolution of cloud-native development strategies in the rapidly changing generative AI landscape.